2026
UMIS: Digital Twin Cockpit for Coal Mine Gas Monitoring & Multi-Robot Exploration UMIS：煤矿瓦斯监测与多机器人协同探测数字孪生主控舱
Kaiyu Li
Open-source Project开源项目 2026 Done完成
A digital twin visualization platform for underground coal mine gas monitoring and multi-robot collaborative exploration. It renders billion-scale point clouds (Potree), overlays real-time gas concentration heatmaps (Three.js custom shaders), tracks the robot fleet with live sensor streams and alerting, and provides AI-assisted target identification and decision support. Built with React 18 + TypeScript + Vite on the frontend and FastAPI + Open3D on the backend. 面向煤矿地下裂缝瓦斯监测与多机器人协同探测的数字孪生可视化平台。支持十亿级点云实时渲染（Potree 八叉树 LOD）、瓦斯浓度实时热力图叠加（Three.js 自定义 shader）、机器人集群实时监控与分级告警，并提供 AI 辅助目标识别与决策支持。前端采用 React 18 + TypeScript + Vite（Three.js / R3F），后端采用 FastAPI + Open3D。
UMIS: Digital Twin Cockpit for Coal Mine Gas Monitoring & Multi-Robot Exploration UMIS：煤矿瓦斯监测与多机器人协同探测数字孪生主控舱
Kaiyu Li
Open-source Project开源项目 2026 Done完成
A digital twin visualization platform for underground coal mine gas monitoring and multi-robot collaborative exploration. It renders billion-scale point clouds (Potree), overlays real-time gas concentration heatmaps (Three.js custom shaders), tracks the robot fleet with live sensor streams and alerting, and provides AI-assisted target identification and decision support. Built with React 18 + TypeScript + Vite on the frontend and FastAPI + Open3D on the backend. 面向煤矿地下裂缝瓦斯监测与多机器人协同探测的数字孪生可视化平台。支持十亿级点云实时渲染（Potree 八叉树 LOD）、瓦斯浓度实时热力图叠加（Three.js 自定义 shader）、机器人集群实时监控与分级告警，并提供 AI 辅助目标识别与决策支持。前端采用 React 18 + TypeScript + Vite（Three.js / R3F），后端采用 FastAPI + Open3D。
PaperPilot: Local-First AI Paper Management & Analysis System PaperPilot：本地优先的论文管理与 AI 智能分析系统
Kaiyu Li
Open-source Project开源项目 2026 Ongoing进行中
A fully local paper management and AI analysis system. Paper data and files persist in a local sandbox for absolute privacy; powered by LLMs and local RAG, it streamlines the whole research workflow of literature management, intelligent PDF parsing (MinerU + metadata extraction), eight-dimension deep analysis, immersive reading with an AI Q&A sidebar, and personal notes. 一套完全运行于本地的论文管理与 AI 智能分析系统。文献数据与文件持久化在本地沙盒，核心科研资产绝对隐私；通过大语言模型与本地 RAG，打通「文献管理 — 智能解析（MinerU 解析 + 元数据提取 + 八维度深度解析）— 沉浸式阅读（AI 全文问答与框选提问）— 个人笔记」的科研全工作流。
PaperPilot: Local-First AI Paper Management & Analysis System PaperPilot：本地优先的论文管理与 AI 智能分析系统
Kaiyu Li
Open-source Project开源项目 2026 Ongoing进行中
A fully local paper management and AI analysis system. Paper data and files persist in a local sandbox for absolute privacy; powered by LLMs and local RAG, it streamlines the whole research workflow of literature management, intelligent PDF parsing (MinerU + metadata extraction), eight-dimension deep analysis, immersive reading with an AI Q&A sidebar, and personal notes. 一套完全运行于本地的论文管理与 AI 智能分析系统。文献数据与文件持久化在本地沙盒，核心科研资产绝对隐私；通过大语言模型与本地 RAG，打通「文献管理 — 智能解析（MinerU 解析 + 元数据提取 + 八维度深度解析）— 沉浸式阅读（AI 全文问答与框选提问）— 个人笔记」的科研全工作流。